Triple
T4425921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flight 3 |
E95208
|
entity |
| Predicate | precedes |
P97
|
FINISHED |
| Object | Flight 4 |
E17424
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Flight 4 | Statement: [Flight 3, precedes, Flight 4]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Flight 4 Context triple: [Flight 3, precedes, Flight 4]
-
A.
Flight 4
chosen
Flight 4 was the first successful Falcon 1 mission, marking SpaceX’s historic achievement of reaching orbit with a privately developed liquid-fueled rocket.
-
B.
Flight 5
Flight 5 is the fifth installment in the "Flight" anthology series of wordless graphic novel collections curated by Kazu Kibuishi, featuring short comics by various artists.
-
C.
Flight 3
Flight 3 is an earlier installment in a sequence of flights or missions that directly precedes Flight 4.
-
D.
Airplane!
Airplane! is a 1980 satirical disaster-comedy film that parodies the conventions of airline and disaster movies with rapid-fire visual gags and deadpan humor.
-
E.
Flight
Flight is a 2012 American drama film directed by Robert Zemeckis, centered on an airline pilot whose heroic emergency landing leads to a harrowing investigation into his personal struggles with addiction.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69b3453c2a0c8190926b574c90766db9 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3554e40ec8190982acc0948da2f42 |
completed | March 13, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5f633a69c8190b062c2a78b0f8319 |
completed | March 14, 2026, 11:58 p.m. |
Created at: March 12, 2026, 11:30 p.m.